Evidence map›Paper›PMID 41515971›Full record

ArticleInternational journal of molecular sciences2025

Transcriptome Dynamics and Regulatory Networks of Postnatal Muscle Development in Leizhou Black Goats.

Jiancheng Han, Jing Huang, Mengning Xu, Yuelang Zhang, Ke Wang, Hanlin Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jiancheng HanZhanjiang Experimental Station, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524013, China.
Jing HuangCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China.ORCID 0009-0001-2509-5865
Mengning XuSanya Institute, Nanjing Agricultural University, Sanya 572024, China.
Yuelang ZhangHainan Institute, Zhejiang University, Sanya 572024, China.
Ke WangZhanjiang Experimental Station, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524013, China.ORCID 0000-0003-3400-3608
Hanlin ZhouZhanjiang Experimental Station, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524013, China.

Funding

the Hainan Province's Key Research and Development Project No.ZDYF2024KJTPY034the Joint Funds of the Chinese Central Public-interest Scientific Institution Basal Research Fund 1630012025802the Joint Funds of the Chinese Central Public-interest Scientific Institution Basal Research Fund 1630012025807the Research and Demonstration of Key Technologies for Grass-livestock Integration in Hot zones Science and Technology Innovation Team No. CATASCXTD202530
6 · The paper itself

Abstract

Postnatal muscle development involves complex transcriptional regulation that remains poorly characterized in goats. This study employed RNA-Seq to profile the Longissimus dorsitranscriptome of Leizhou Black goats across three developmental stages: birth, six months, and two years. We identified dynamic gene expression patterns, widespread alternative splicing events, and stage-specific co-expression networks that collectively orchestrate muscle maturation. A significant transcriptional shift occurred between six months and two years, marked by the downregulation of proliferation-related genes (e.g.,

Indexed as

Gene Regulatory NetworksGoatsMuscle DevelopmentMuscle, SkeletalTranscriptomeAnimalsGene Expression ProfilingGene Expression Regulation, DevelopmentalLeizhou black goatmolecular breedingmuscle developmenttranscriptome analysis

Identifiers

PMID41515971
PMCPMC12785553

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.